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http://dx.doi.org/10.1016/j.scib.2025.01.063 | DOI Listing |
Stat Med
March 2025
Vaccine and Infectious Disease and Public Health Sciences Divisions, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Based on data from a randomized, controlled vaccine efficacy trial, this article develops statistical methods for assessing vaccine efficacy (VE) to prevent COVID-19 infections by a discrete set of genetic strains of SARS-CoV-2. Strain-specific VE adjusting for possibly time-varying covariates is estimated using augmented inverse probability weighting to address missing viral genotypes under a competing risks model that allows separate baseline hazards for different risk groups. Hypothesis tests are developed to assess whether the vaccine provides at least a specified level of VE against some viral genotypes and whether VE varies across genotypes.
View Article and Find Full Text PDFGenome
January 2025
Division of Genetics, ICAR-Indian Agricultural Research Institute, Pusa, New Delhi, India.
Yellow/stripe rust caused by f. sp. is a major biotic stress in global wheat production.
View Article and Find Full Text PDFEndocr Relat Cancer
March 2025
A Velusamy, Department of Endocrinology, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom of Great Britain and Northern Ireland.
Paragangliomas (PGLs) are neuroendocrine tumours (NETs) that arise from neural crest derived cells. Up to 40% of cases occur due to the presence of a pathogenic germline variant (PGV) in a known gene. Mediastinal PGLs are rare but are being diagnosed with increasing frequency.
View Article and Find Full Text PDFMany factors, including environmental and genetic variables, contribute to Colorectal Cancer (CRC) risk. Some of these risk factors may share underlying genetics with CRC. We investigated potential shared genetics by performing a Phenome-wide association study (PheWAS) with a multi-ancestry CRC polygenic risk score (PRS).
View Article and Find Full Text PDFEJIFCC
March 2025
Department of Medical Genetics, JSS Medical College, JSS Academy of Higher Education & Research, Mysuru, Karnataka, India.
Background: This study introduces an efficient, cost-effective laboratory- derived method for extracting genomic DNA from dried blood spots (DBS) by optimizing the organic separation phenol method.
Methodology: DBS samples, collected via heel prick from 50 neonates as a part of routine newborn screening, were processed using an optimized phenol method that employs lysis buffers with minimal concentrations of proteinase K and phenol:chloroform:isoamyl alcohol (PCI) reagent.
Results: The extracted genomic DNA exhibited a concentration range of 50 to 200ng/μl, with purity levels (A260/280) falling within the range of 1.
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